Comment from the Stata technical group

Michael N. Mitchell’s Data Management Using Stata comprehensively
covers data-management tasks, from those a beginning statistician would need to
those hard-to-verbalize tasks that can confound an experienced user. Mitchell
does this all in simple language with illustrative examples.

The book is modular in structure, with modules based on data-management tasks rather
than on clusters of commands. This format is helpful because it allows readers
to find just what they need to solve a problem at hand. To complement
this format, the book is in a style that will teach even sporadic readers good
habits in data management, even if the reader chooses to read chapters out of
order.

Throughout the book, Mitchell subtly emphasizes the absolute necessity of
reproducibility and an audit trail. Instead of stressing programming
esoterica, Mitchell reinforces simple habits and points out the time-savings
gained by being careful. Mitchell’s experience in UCLA’s Academic
Technology Services clearly drives much of his advice.

Mitchell includes advice for those who would like to learn to write their own
data-management Stata commands. Even experienced users will learn new
tricks and new ways to approach data-management problems.

This is a great book—thoroughly recommended for anyone interested in data
management using Stata.